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Lupia, F
Sanaei, A
Long, D.S
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Authors
Nino, P
Vanino, S
Lupia, F
Altobelli, F
Vuolo, F
Namdarian, I
De Michele, C
Bonfil, D.J
Mufradi, I
Asido, S
Long, D.S
Bonfil, D.J
Mufradi, I
Asido, S
Long, D.S
Sanaei, A
Topics
Remote Sensing Applications in Precision Agriculture
Precision Management / Precision Conservation
Type
Poster
Oral
Year
2012
2008
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Filter results4 paper(s) found.

1. Applications for Precision Agriculture: the Italian Experience of SIRIUS Project

    This paper reports the results of the project SIRIUS (Sustainable Irrigation water management and River-basin... P. Nino, S. Vanino, F. Lupia, F. Altobelli, F. Vuolo, I. Namdarian, C. De michele

2. Precision Nitrogen Management Based on Nitrogen Removal in Rainfed Wheat

Growers of hard red spring wheat may capture price premiums for maximizing the protein concentration of their grain. Nitrogen (N) nutrition adequacy is crucial to achieving high grain protein concentration. The objective of this study was to determine the usefulness of N removal maps by comparing grain protein, yields, and dollar returns obtained from this precision N management approach with that from conventional uniform N management. Strip plot experiments were designed to compare spatially... D.J. Bonfil, I. Mufradi, S. Asido, D.S. Long

3. On-combine Near Infrared Spectroscopy Applied to Prediction of Grain Test Weight

Whole grain near infrared (NIR) spectroscopy is a widely accepted method for analysis of the protein and moisture contents of grain, but is seldom applied to predict test weight. Test weight is a widely used specification for grading of wheat and predictor of flour yield. The objective of this study was to determine whether NIR spectroscopy could be used for measuring the test weight of grain. Reference grain samples of hard red spring wheat were obtained from dryland fields in the semiarid Negev... D.J. Bonfil, I. Mufradi, S. Asido, D.S. Long

4. Using Pricise Gps/gis Based Barley Yield Maps to Predict Site-specific Phosphorus Requirements

Three fundamental stages and technologies as main parts of a precision farming project should be considered precisely. These are access to actual multi- dimensional variability detail or variable description on farms, creating a suitable variable-rate technology, and finally providing a decision support system. Some results of a long term practical research conducted by the author in Upon-Tyne Newcastle University of UK for reliable yield monitoring and mapping were utilised to prepare this paper. The... A. Sanaei